In this paper, an advanced framework for the optimizer of DC-DC buck converters, which utilizes Python for algorithm implementation and SIMETRIX/SIMPLIS for accurate DC-DC converter simulation for automatic parameter sizing. The analysis focuses on achieving an exceptional {8 6 \%} peak efficiency under a typical condition of 1 A load current, achieved by determining optimal inductance and capacitance values ranging from 1 \mu \mathrm{H} to 6.6 \mu \mathrm{H} and from 10 \mu \mathrm{~F} to 200 \mu \mathrm{~F} respectively, through an automatic parametric sweep is presented. The automation for the benchmark of DC-DC converters is more efficient and valuable for high-efficiency electric vehicles and renewable energy systems, decreases the optimization time, and increases overall system performance.
Ansari, D., Giovanni, C., Amin, S., Baschirotto, A. (2024). Python and SIMETRIX/SIMPLIS based automated platform for the DC-DC Converter with current mode control. In 2024 39th Conference on Design of Circuits and Integrated Systems (DCIS) (pp.19-22). Institute of Electrical and Electronics Engineers Inc. [10.1109/DCIS62603.2024.10769148].
Python and SIMETRIX/SIMPLIS based automated platform for the DC-DC Converter with current mode control
Ansari D. K.;Amin S. U.;Baschirotto A.
2024
Abstract
In this paper, an advanced framework for the optimizer of DC-DC buck converters, which utilizes Python for algorithm implementation and SIMETRIX/SIMPLIS for accurate DC-DC converter simulation for automatic parameter sizing. The analysis focuses on achieving an exceptional {8 6 \%} peak efficiency under a typical condition of 1 A load current, achieved by determining optimal inductance and capacitance values ranging from 1 \mu \mathrm{H} to 6.6 \mu \mathrm{H} and from 10 \mu \mathrm{~F} to 200 \mu \mathrm{~F} respectively, through an automatic parametric sweep is presented. The automation for the benchmark of DC-DC converters is more efficient and valuable for high-efficiency electric vehicles and renewable energy systems, decreases the optimization time, and increases overall system performance.
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